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HavelockAI
/
bert-orality-regressor

Text Classification
Transformers
Safetensors
English
havelock-orality-regressor
feature-extraction
regression
modernbert
orality
linguistics
rhetorical-analysis
custom_code
Eval Results (legacy)
Model card Files Files and versions
xet
Community

Instructions to use HavelockAI/bert-orality-regressor with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use HavelockAI/bert-orality-regressor with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="HavelockAI/bert-orality-regressor", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("HavelockAI/bert-orality-regressor", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
bert-orality-regressor
600 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 22 commits
permutans's picture
permutans
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891acbc verified 3 months ago
  • .gitattributes
    1.52 kB
    initial commit 3 months ago
  • README.md
    6.63 kB
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  • config.json
    2.21 kB
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  • model.safetensors
    596 MB
    xet
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  • modeling_havelock.py
    2.17 kB
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  • tokenizer.json
    3.58 MB
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  • tokenizer_config.json
    351 Bytes
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